LLM-Powered Quantitative Finance (Paperback)
Language: English
Published by Independently Published, 2026
- Softcover
- New
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
AbeBooks seller since October 12, 2005
Condition: New
£ 40.87
Quantity: 1 available
Add to basketItem description from seller
Paperback. Reactive Publishing Discover how large language models are transforming quantitative finance in this practical guide to building intelligent AI agents. This book explores the integration of LLMs with quantitative trading strategies, risk modeling, and decision-making systems. Readers will learn the fundamentals of designing, training, and deploying AI agents capable of analyzing market data, processing financial news and sentiment, and supporting robust risk management frameworks. Key topics include: - Architecting LLM-based trading agents- Integrating real-time market data and alternative datasets- Implementing sentiment analysis pipelines for financial decision-making- Developing risk forecasting and portfolio management systems- Best practices for testing, backtesting, and safely deploying autonomous AI systems in live trading environments Whether you are a quantitative analyst, developer, or finance professional interested in the intersection of artificial intelligence and capital markets, this book provides clear explanations, code examples, and architectural patterns to help you build production-ready solutions. Ideal for readers with basic knowledge of Python, machine learning concepts, and financial markets. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…
Seller Inventory # 9798184944708
- Title
- LLM-Powered Quantitative Finance (Paperback)
- Author
- Takehiro Kanegi
- Publisher
- Independently Published
- Publication year
- 2026
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 13
- 9798184944708
Discover how large language models are transforming quantitative finance in this practical guide to building intelligent AI agents.
This book explores the integration of LLMs with quantitative trading strategies, risk modeling, and decision-making systems. Readers will learn the fundamentals of designing, training, and deploying AI agents capable of analyzing market data, processing financial news and sentiment, and supporting robust risk management frameworks.
Key topics include:
• Architecting LLM-based trading agents
• Integrating real-time market data and alternative datasets
• Implementing sentiment analysis pipelines for financial decision-making
• Developing risk forecasting and portfolio management systems
• Best practices for testing, backtesting, and safely deploying autonomous AI systems in live trading environments
Whether you are a quantitative analyst, developer, or finance professional interested in the intersection of artificial intelligence and capital markets, this book provides clear explanations, code examples, and architectural patterns to help you build production-ready solutions.
Ideal for readers with basic knowledge of Python, machine learning concepts, and financial markets.
"Synopsis" may belong to another edition of this title.
Grand Eagle Retail
Bensenville, IL, U.S.A.
AbeBooks seller since October 12, 2005
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